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Record W2018842203 · doi:10.1109/lmwc.2013.2295229

Characteristic Planes and Scattering Matrices of E and H-Plane Waveguide Tee Junctions

2014· article· en· W2018842203 on OpenAlexaff
Joseph Helszajn, M. Caplin, Joseph Frenna, Bill Tsounis

Bibliographic record

VenueIEEE Microwave and Wireless Components Letters · 2014
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsApollo Microwaves (Canada)
Fundersnot available
KeywordsScatteringWaveguidePlane (geometry)PhysicsPort (circuit theory)Eigenvalues and eigenvectorsOpticsS-matrix theoryCirculatorPlane waveAdmittanceGeometryMathematical analysisMathematicsElectrical impedanceEngineeringElectrical engineeringQuantum mechanics

Abstract

fetched live from OpenAlex

A unique set of reference planes which enters into the descriptions of either a E-plane or an H-plane tee junctions are the locations of its two characteristics planes. One typical plane coincides with the position of a short circuit at one typical port which will decouple another port from an input port. The purpose of this paper is to numerically and experimentally establish these planes in WR75 waveguide for each arrangement. The paper includes a calculation of the scattering parameters in WR75 waveguide about 13.25 GHz between the characteristic planes of both types of junctions. The characteristic planes of any tee junction enter into the descriptions of quarter-wave coupled circulators and in the construction of the Dicke eigenvalue problem.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.214
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2014
Admission routes1
Has abstractyes

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